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Probabilistic group recommendation via information matching
2013
Proceedings of the 22nd international conference on World Wide Web - WWW '13
Increasingly, web recommender systems face scenarios where they need to serve suggestions to groups of users; for example, when families share e-commerce or movie rental web accounts. Research to date in this domain has proposed two approaches: computing recommendations for the group by merging any members' ratings into a single profile, or computing ranked recommendations for each individual that are then merged via a range of heuristics. In doing so, none of the past approaches reason on the
doi:10.1145/2488388.2488432
dblp:conf/www/GorlaLR013
fatcat:hts4vsvhr5dixioy4rggrxmb3u